Ying Sun
Orcid: 0000-0002-4763-6060Affiliations:
- Hong Kong University of Science and Technology, Guangzhou Campus, China
- Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Beijing, China (former)
According to our database1,
Ying Sun
authored at least 15 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews.
ACM Trans. Inf. Syst., January, 2024
2023
Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks.
IEEE Trans. Knowl. Data Eng., March, 2023
Exploring the tidal effect of urban business district with large-scale human mobility data.
Frontiers Comput. Sci., 2023
Large-Scale Assessment of Labour Market Dynamics in China during the COVID-19 Pandemic.
CoRR, 2023
Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Interactive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
2022
ACM Trans. Intell. Syst. Technol., 2022
Adaptively sharing multi-levels of distributed representations in multi-task learning.
Inf. Sci., 2022
2021
Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
2020
Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
2019
The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018